Jay Lundell
- Demography top 2%
- Technology Use by Older Adults 5
- Family Practice top 10%
- Medication Adherence and Compliance 2
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction 4
- Usability and User Interface Design 2
-
- Context-Aware Activity Recognition Systems 4
-
- Software Engineering Techniques and Practices 2
-
- Mobile Health and mHealth Applications 2
-
- Assistive Technology in Communication and Mobility 2
- Co-authors
- Linda BoiseKatherine WildMargaret E. MorrisEric DishmanJoy GoodmanTamara HayesJeffrey KayeMisha Pavel
- Journals
- Interacting with Computers (1 paper)Journal of Applied Gerontology (1 paper)Telemedicine Journal and e-Health (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jay Lundell
15 papers receiving 325 citations
Peers
Comparison fields: 5 of 74
- Demography 169
- Family Practice 25
- Human-Computer Interaction 60
- Neuropsychology and Physiological Psychology 16
- Computer Vision and Pattern Recognition 118
Countries citing papers authored by Jay Lundell
This map shows the geographic impact of Jay Lundell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jay Lundell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Lundell more than expected).
Fields of papers citing papers by Jay Lundell
This network shows the impact of papers produced by Jay Lundell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jay Lundell. The network helps show where Jay Lundell may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Jay Lundell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | 2009 | 41 | |
| 3 | 2008 | 136 | |
| 4 | Deploying wide-scale in-home assessment technology | 2008 | 14 |
| 5 | 2007 | 33 | |
| 6 | 2007 | 7 | |
| 7 | 2006 | 13 | |
| 8 | 2005 | 25 | |
| 9 | 2004 | 3 | |
| 10 | 2004 | 38 | |
| 11 | Ubiquitous Computing for Cognitive Decline: Findings from Intel's Proactive Health Research | 2003 | 16 |
| 12 | 1995 | 4 | |
| 13 | Hewlett-Packard's usability engineering program | 1994 | 1 |
| 14 | Integrating QFD Into Software Development: A Case Study. | 1993 | 2 |
| 15 | 1991 | 11 |
About Jay Lundell
Jay Lundell is a scholar working on Human-Computer Interaction, Family Practice and Occupational Therapy, having authored 15 papers that have together received 346 indexed citations. Recurring topics across this work include Technology Use by Older Adults (5 papers), Innovative Human-Technology Interaction (4 papers), Context-Aware Activity Recognition Systems (4 papers), Medication Adherence and Compliance (2 papers), Software Engineering Techniques and Practices (2 papers), Mobile Health and mHealth Applications (2 papers), Assistive Technology in Communication and Mobility (2 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Demography (169 citations), Family Practice (25 citations) and Human-Computer Interaction (60 citations). Jay Lundell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Linda Boise, Katherine Wild, Margaret E. Morris, Eric Dishman, Joy Goodman, Tamara Hayes, Jeffrey Kaye, Misha Pavel, Umut Özertem and Michael E. Labhard. Their work appears in journals such as Interacting with Computers, Journal of Applied Gerontology, Telemedicine Journal and e-Health, interactions and Conference proceedings.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.